Central to interventions to improve the quality of romantic relationships is its measurement. Yet, to what degree is the concept of relationship quality well-defined, and, importantly, well-measured? In the present article, the authors conducted a comprehensive search of instruments measuring relationship quality in ProQuest, Web of Science, and Scopus finding a total of 599 scales, with 26 meeting our definition of romantic relationship quality. When the authors investigated the 26 scales’ overlap of item-content, they identified 25 distinct categories among 754 items (with our database of items on the OSF: https://osf.io/v964p/). The mean overlap between scales was weak (Jaccard Index correlation coefficient = 0.39), indicating that these scales were very heterogeneous. The authors then assessed to what extent researchers reported internal validity in 43 scale development-validation articles. They found that Cronbach’s Alpha was most often reported (in 91% of the articles). Other aspects were reported far less often, with 55% reporting exploratory factor analyses, 26% reporting confirmatory factor analyses, 23% reporting test-retest reliability, 7% reporting measurement invariance. The heterogeneity of measures and lack of reported general validity of romantic relationship quality points to the need for concept-driven work on the assessment of romantic relationship quality.
For more than a decade, research in psychology has been struggling to replicate many well-known and highly cited studies. This replication crisis has been the genesis for the emergence of many Big Team Science projects. One early contributor to the Big Team Science movement is the Collaborative Replication and Education Project (CREP), a large-scale collaborative project via which undergraduate students can contribute to scientific knowledge through replication studies. Not only does the CREP help students to learn and care deeply about research methods independent of the novelty of their study, it also offers an incredible contribution to the research community-at-large.
To understand whether and how temperature regulation contributes to interpersonal relationships, we need to study them on a daily basis. To do so, we need accurate sensors to measure frequently. In this study, we aim to validate the PurpleXus sensor for skin temperature measurement. It’s a newer, potentially more accurate, and less invasive thermal sensor than one we validated before, the ISP131001 (Sarda et al., 2021). We followed the same protocol as Sarda and colleagues (2021) and ran linear mixed models to check whether the PurpleXus sensor is reliably correlated to a wired and previously validated sensor, the MLT422/A probe. In addition, we provided formal comparisons between the PurpleXus sensor and the ISP131001 sensor. In the exploratory and the confirmatory set we found an overall correlation of .56 and [.xx] respectively between the PurpleXus and the MLT422/A probe, while we found a correlation of .42 and [.xx] between the ISP131001 and the MLT422/A probe. [We will add a discussion sentence after running the confirmatory analyses.]
We aim to replicate a study by IJzerman et al. (2012), which concluded that the experimental condition of social exclusion (vs. inclusion) in the Cyberball computer game decreases peripheral index finger temperature, but did so at 67.2% power (N=41), in a single lab in a colder country (the Netherlands), yet concluded generalizability. The study received considerable news coverage (e.g., in the New York Times) and is well-cited (223 at the time of writing). We seek to overcome the limitations of the previous study by conducting a highly-powered replication of the effect (projected minimum N=500) in 8 different countries in 3 different climatic regions (Croatia, Serbia, Bosnia, France, Turkey, Singapore, Nigeria, and Poland). We also extended the study by measuring body parts other than the index finger (pinky finger, supraclavicular, and wrist) and measured a selection of questionnaires that have been shown to be of relevance for social thermoregulatory mechanisms. Given the considerable power of the study and the inclusion of different climatic regions, these extensions can advance theory on social thermoregulation in various important ways.
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